Assessment of hydrogen production methods for global energy transition using aI enhanced quantum recommender fuzzy modelling
| dc.authorid | 0000-0002-8072-031X | |
| dc.authorid | 0000-0002-9858-1266 | |
| dc.authorid | 0000-0002-4791-4091 | |
| dc.authorid | 0000-0001-5853-4943 | |
| dc.contributor.author | Dinçer, Hasan | |
| dc.contributor.author | Yüksel, Serhat | |
| dc.contributor.author | Eti, Serkan | |
| dc.contributor.author | Acar, Merve | |
| dc.date.accessioned | 2024-06-07T07:46:37Z | |
| dc.date.available | 2024-06-07T07:46:37Z | |
| dc.date.issued | 2024 | |
| dc.department | İstanbul Medipol Üniversitesi, İMÜ Meslek Yüksekokulu | |
| dc.department | İstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Bankacılık ve Sigortacılık Bölümü | |
| dc.department | İstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü | |
| dc.description.abstract | The main performance indicators of hydrogen energy production should be improved. However, improving these factors also increase the operational costs of the companies. Because of this issue, there is a need for a priority analysis so that it can be possible to focus on more important factors. Accordingly, the purpose of this study is to evaluate hydrogen production methods for global energy transition. In this process, a four-stage model has been proposed by getting evaluations from three different experts. Firstly, artificial intelligence-based decision-making can be implemented for expert prioritization. In the second stage, recommender system is conducted with collaborative filtering to complete the missing evaluations. Thirdly, selected criteria are weighted by using M-SWARA with QPFRS. Finally, method alternatives for hydrogen production are ranked via quantum picture fuzzy rough sets adopted VIKOR. The biggest contribution for doing this study is that artificial intelligence technique is integrated into the model and experts' importance coefficients are can be computed. Additionally, by using the collaborative filtering technique, empty evaluations can be filled scientifically. This contributes to the quality of the analysis process in many ways. Thanks to this technique, experts are given the opportunity not to answer questions they are not very sure about. The findings indicate that renewable energy expansion, energy efficiency and sustainable development are the most important criteria for global energy transition in hydrogen production. On the other side, the ranking results give information that thermal processes including steam methane reforming and biomass gasification is the most appropriate method alternatives for hydrogen production. Based on these analysis results, it is strongly recommended that research and development activities should be improved to increase the efficiency and effectiveness of the renewable energy projects. With the help of this issue, it can be much easier to increase the performance of hydrogen production process. | |
| dc.identifier.citation | Dinçer, H., Yüksel, S., Eti, S. ve Acar, M. (2024). Assessment of hydrogen production methods for global energy transition using aI enhanced quantum recommender fuzzy modelling. International Journal of Hydrogen Energy, 70, 696-714. http://dx.doi.org/10.1016/j.ijhydene.2024.05.141 | |
| dc.identifier.doi | 10.1016/j.ijhydene.2024.05.141 | |
| dc.identifier.endpage | 714 | |
| dc.identifier.issn | 0360-3199 | |
| dc.identifier.issn | 1879-3487 | |
| dc.identifier.scopus | 2-s2.0-85193424561 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 696 | |
| dc.identifier.uri | http://dx.doi.org/10.1016/j.ijhydene.2024.05.141 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12511/12588 | |
| dc.identifier.volume | 70 | |
| dc.identifier.wos | 001244020600001 | en_US |
| dc.identifier.wosquality | Q1 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.institutionauthor | Dinçer, Hasan | |
| dc.institutionauthor | Yüksel, Serhat | |
| dc.institutionauthor | Eti, Serkan | |
| dc.institutionauthor | Acar, Merve | |
| dc.language.iso | en | |
| dc.relation.ispartof | International Journal of Hydrogen Energy | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Energy Transition | |
| dc.subject | Fuzzy Modelling | |
| dc.subject | Hydrogen Production | |
| dc.title | Assessment of hydrogen production methods for global energy transition using aI enhanced quantum recommender fuzzy modelling | |
| dc.type | Article |
